opengreenhousegv
Vice President, Biometry
Parabilis Medicines
LocationCambridge or Remote, Cambridge
WorkplaceFull
Last observed2026-06-13 05:23:24.870242
Job idgv-fogpharma:greenhouse:8397307002
About Parabilis Medicines Parabilis Medicines is a clinical-stage biopharmaceutical company dedicated to creating extraordinary medicines for patients with serious diseases by unlocking biologically important targets long considered undruggable. The company has pioneered a new class of alpha-helical peptides – Helicons™ – capable of modulating intracellular proteins that have historically been beyond the reach of conventional medicines. The company’s lead investigational medicine, zolucatetide, is the first and only direct inhibitor of the β-catenin:TCF interaction, a central node in the Wnt/β-catenin pathway that has eluded drug developers for decades. Zolucatetide is being evaluated in the clinic across multiple Wnt/β-catenin-driven diseases, including desmoid tumors, familial adenomatous polyposis (FAP) and a range of other solid tumor indications. Beyond zolucatetide, Parabilis is advancing additional Helicon-based programs focused on other challenging targets where we believe our medicines could have life-altering impact. For more information, visit www.parabilismed.com or follow us on LinkedIn . What’s the opportunity? The Vice President of Biometry will lead Parabilis’s biometrics organization, overseeing biostatistics, statistical programming, data management, clinical data science and Real-World Data to support clinical development programs from early-phase through regulatory submission. This strategic role ensures the integrity, quality, and compliance of all clinical trial data and analyses while driving innovation in data strategy and statistical methodologies. Reporting to our SVP, Development Operations, the successful candidate will serve as a key member of the Development leadership team, partnering closely with Clinical Development, Clinical Operations, Regulatory Affairs, translational/computational biology and other functions to enable data-driven decision-making and successful product development. Lead and develop the Biometrics organization, including biostatistics, programming, data management Clinical Data science ensuring high-quality deliverables across all clinical programs and fostering a culture of scientific rigor, accountability, collaboration and innovation. Oversee design and implementation of statistical methodologies for clinical trials. Champion innovative methodologies, including adaptive and model-based approaches, to support efficient and agile drug development. Provide strategic input into drug development strategies in collaboration with program-level and functional leadership, working closely with Clinical Development, Clinical Operations, and Translational Medicine. Ensure the integrity, high quality and traceability of clinical trial data and the accuracy of all statistical analyses, leading to compliant deliverables in biometry. Lead and support biometrics interactions with global health authorities. Establish and maintain vendor partnerships ensuring quality and timely delivery of outsources biometrics activities. What you’ll need to be successful: Doctoral degree in Biostatistics or related field. 15+ years of biometrics experience within the biotech or pharmaceutical field. Proven track record of leading, building, and managing teams. Demonstrated record of fostering creativity, productivity, and execution with urgency, teamwork and accountability. Company leader who leads by example, employs expertise and influence to encourage collaboration across departments, levels, and groups to achieve key objectives. Deep knowledge of clinical trial design, regulatory requirements, and statistical environment. Excellent problem-solving skills, strategic thinking, and ability to work in a fast-paced, collaborative environment. Outstanding interpersonal skills, self-awareness, and ability to manage team dynamics. Ideally, has worked in more than one therapeutic area and has direct experience with innovative Phase 1-3 clinical study designs for oncology. Comfort with model-based drug developme
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